Development and Validation of a Risk Tool for Predicting Severe Toxicity in Older Adults Receiving Chemotherapy for Early-Stage Breast Cancer.

ABSTRACT:

Purpose

Limited tools exist to predict the risk of chemotherapy toxicity in older adults with early-stage breast cancer.

Methods

Patients of age ≥ 65 years with stage I-III breast cancer from 16 institutions treated with neoadjuvant or adjuvant chemotherapy were prospectively evaluated for geriatric and clinical features predictive of grade 3-5 chemotherapy toxicity. Logistic regression with best-subsets selection was used to identify and incorporate independent predictors of toxicity into a model with weighted variable scoring. Model performance was evaluated using area under the ROC curve (AUC) and goodness-of-fit statistics. The model was internally and externally validated.

Results

In 473 patients (283 in development and 190 in validation cohort), 46% developed gr

SUBMITTER: Magnuson A 

PROVIDER: S-EPMC8189621 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature